Lars Liebmann
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Featured researches published by Lars Liebmann.
symposium on vlsi technology | 2016
Lars Liebmann; Jia Zeng; Xuelian Zhu; Lei Yuan; Guillaume Bouche; Jongwook Kye
Design technology co-optimization (DTCO) is the term used to describe the process of deriving a competitive technology definition out of a number of increasingly complex trade-offs. DTCO is not a specific approach or methodology, but rather a commitment to closer collaboration between designers and process engineers born out of necessity to maintain value in semiconductor scaling. This paper aims to clarify this abstract concept through a series of examples encountered in scaling a logic cell from the N14 to the N3 technology node.
International Journal of High Speed Electronics and Systems | 2017
Ajey Poovannummoottil Jacob; Ruilong Xie; Min Gyu Sung; Lars Liebmann; Rinus T. P. Lee; Bill Taylor
The economic health of the semiconductor industry requires substantial scaling of chip power, performance, and area with every new technology node that is ramped into manufacturing in two year intervals. With no direct physical link to any particular design dimensions, industry wide the technology node names are chosen to reflect the roughly 70% scaling of linear dimensions necessary to enable the doubling of transistor density predicted by Moore’s law and typically progress as 22nm, 14nm, 10nm, 7nm, 5nm, 3nm etc. At the time of this writing, the most advanced technology node in volume manufacturing is the 14nm node with the 7nm node in advanced development and 5nm in early exploration. The technology challenges to reach thus far have not been trivial. This review addresses the past innovation in response to the device challenges and discusses in-depth the integration challenges associated with the sub-22nm non-planar finFET technologies that are either in advanced technology development or in manufacturing. It discusses the integration challenges in patterning for both the front-end-of-line and back-end-of-line elements in the CMOS transistor. In addition, this article also gives a brief review of integrating an alternate channel material into the finFET technology, as well as next generation device architectures such as nanowire and vertical FETs. Lastly, it also discusses challenges dictated by the need to interconnect the ever-increasing density of transistors.
Extreme Ultraviolet (EUV) Lithography IX | 2018
Yulu Chen; Lars Liebmann; Lei Sun; Allen H. Gabor; Shuo Zhao; Feixiang Luo; Obert Wood; Xuemei Chen; Daniel Schmidt; Michael Kling; Francis Goodwin
Although lens aberrations in EUV imaging systems are very small, aberration impacts on pattern placement error and overlay error need to be carefully investigated to obtain the most robust lithography process for high volume manufacturing. Instead of focusing entirely on pattern placement errors in the context of a single lithographic process, we holistically study the interaction between two sequential lithographic layers affected by evolving aberration wavefronts, calculate aberration induced overlay error, and explore new strategies to improve overlay.
Proceedings of SPIE | 2017
Lars Liebmann; Vassilios Gerousis; Paul Gutwin; Xuelian Zhu; Jan Petykiewicz
As pitch scaling is becoming constrained not only by lithographic resolution limits but alos by fundamental device and interconnect challenges the semiconductor industry has turned to cell-height reduction as a means of achieving competitive area scaling. The risk in using cell-height reduction to compensate for insufficient pitch scaling is that place- and-route inefficiencies caused by wiring congestion at the block level of the design can easily eliminate any area scaling gains made at the cell level of the design. This paper shows how careful cell-architecture optimization, physical design methodology changes, and place-and-route innovations have led to competitive block level area scaling for 7nm technology nodes and beyond. Data is presented to show that an entire node’s worth of scaling can be achieved through these comprehensive design-technology co-optimization efforts.
Archive | 2014
Michael S. Gray; Matthew T. Guzowski; Alexander Ivrii; Lars Liebmann; Kevin W. McCullen; Gustavo E. Tellez; Michael Gester
Proceedings of SPIE | 2017
Michael M. Crouse; Lars Liebmann; Vince Plachecki; Mohamed Salama; Yulu Chen; Nicole Saulnier; Derren Dunn; Itty Matthew; Keith Gronlund; Francis Goodwin
Archive | 2017
Su Chen Fan; Lars Liebmann; Ruilong Xie
Proceedings of SPIE | 2016
Dongbing Shao; Larry Clevenger; Lei Zhuang; Lars Liebmann; Robert C. Wong; James A. Culp
Archive | 2018
Ruilong Xie; Min Gyu Sung; Nigel Graeme Cave; Lars Liebmann
Archive | 2018
Ruilong Xie; Hoon Kim; Catherine B. Labelle; Lars Liebmann; Chanro Park; Min Gyu Sung